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Can I run Qwen3-Coder 480B-A35B (MoE) locally?

Alibaba · 480B parameters (35B active) · coding.

Ollama weight files: Q4_K_M 290 GB (qwen3-coder:480b); Q8_0 510 GB (qwen3-coder:480b-a35b-q8_0).

Yes on 5 machines in this list. The smallest is 4x Mac Studio M5 Max (40c GPU) 128GB: Q5_K_M, about 342.8 GB, roughly 7 tokens per second, via llama.cpp. llama-server -hf unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node

Setup on 4x Mac Studio M5 Max (40c GPU) 128GB

Open Qwen3-Coder 480B-A35B (MoE) in the checker

Hardware that fits

HardwareRuntimeQuantMemoryFitSpeedCommand
4x Mac Studio M5 Max (40c GPU) 128GBllama.cppQ5_K_M GGUF342.8 GBfits in fast memory~7 tok/sllama-server -hf unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node
2x Mac Studio M5 Ultra (80c GPU) 256GBllama.cppQ5_K_M GGUF342.8 GBfits in fast memory~16 tok/sllama-server -hf unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF:Q5_K_M --rpc node2:50052 -c 8192 # run rpc-server on each other node
Mac Studio M3 Ultra (80c GPU) 512GBOllamaQ4_K_M292.4 GBfits in fast memory~15 tok/sollama run qwen3-coder:480b
4x DGX Spark 128GBllama.cppQ5_K_M GGUF342.8 GBfits in fast memory~5 tok/sllama-server -hf unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF:Q5_K_M --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node
4x Mac Studio M5 Ultra (80c GPU) 256GBllama.cppQ8_0 GGUF512.7 GBfits in fast memory~10 tok/sllama-server -hf unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF:Q8_0 --rpc node2:50052,node3:50052,node4:50052 -c 8192 # run rpc-server on each other node

Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-16.

A project by OnDevice Labs · llms.txt